The AI Bridge: How Product Owners and Developers Finally Speak the Same Language
Product owners think in outcomes. Developers think in systems. AI can bridge that gap — with the right documents, workflows, and prompts. Here's exactly how.
#ai-workflow
15 posts
AI for the Other 80%: Requirements, Documentation, and Decisions
Code generation gets all the hype, but AI's biggest impact might be in the 80% of development that isn't writing code: requirements, docs, architecture decisions, and communication.
Google Stitch + Claude Code: Build Professional Websites in Hours, Not Weeks
A practical guide to combining Google Stitch (free AI design tool) with Claude Code to create branded, production-ready websites — without the generic AI template look.
Debugging with AI: When AI-Generated Code Breaks in Production
The series covered how to prevent bugs. This post covers what to do when they slip through. How to use AI as a debugging partner without chasing its hallucinations.
When Five Developers Use AI on the Same Codebase: The Team Collaboration Challenge
AI works differently for every developer. How to establish team conventions, shared context, consistent quality, and avoid the 'five different architectures' problem.
How to Talk to AI: Prompt Patterns That Actually Work
The series covered WHAT to do with AI. This post covers HOW to communicate with it. Prompt patterns that produce usable code, not impressive demos.
The AI Trust Boundary: What to Never Delegate and What to Always Verify
AI doesn't understand threat models. How to define your trust boundary, handle security-critical code, and build guardrails that protect your users.
Testing Code You Didn't Write: A Developer's Guide to Verifying AI Output
AI-generated code needs different testing strategies. How to write tests that catch what AI gets wrong, use AI to generate test cases, and build a testing workflow for AI-assisted development.
The AI-Assisted Development Playbook: Honest Lessons and What Comes Next
Everything we learned building BuildRight with AI, the mistakes we'd make again, the ones we wouldn't, and where AI-assisted development is heading.
When AI Writes Beautiful Code That Doesn't Fit: The Architecture Trap
AI can generate impressive code that completely ignores your architecture. How to provide architectural context, enforce patterns, and know when to override AI suggestions.
Beyond 'We're Faster Now': How to Actually Measure AI's Impact on Your Development Process
Gut feelings aren't metrics. How to measure AI's real impact on speed, quality, and team satisfaction — with honest numbers from the BuildRight project.
The 40% That Nobody Wants to Do: Why Planning Before Prompting Changes Everything
Most developers skip straight to 'generate code.' The teams that get real value from AI spend 40% of their time planning before writing a single prompt.
I Shipped AI-Generated Code Without Reviewing It. Here's What Broke.
The review phase is 40% of the workflow for a reason. A real story about shipping too fast, the review checklist that prevents it, and how to build review habits that scale.
From Blank Repo to Landing Page in 90 Minutes: Your First AI-Assisted Quick Win
A step-by-step walkthrough of building a landing page with AI assistance, demonstrating the 40-40-20 workflow in the simplest possible context.
The AI-Assisted Development Playbook: Why Your Workflow Matters More Than Your Tools
AI coding tools promise 10x productivity, but most teams see 1.2x. The difference isn't the tool. It's the workflow.
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